Zobrazeno 1 - 10
of 7 092
pro vyhledávání: '"Liang XIN"'
Autor:
Wu, Xuan, Gong, Qian, Chen, Jieyang, Liu, Qing, Podhorszki, Norbert, Liang, Xin, Klasky, Scott
The unprecedented amount of scientific data has introduced heavy pressure on the current data storage and transmission systems. Progressive compression has been proposed to mitigate this problem, which offers data access with on-demand precision. How
Externí odkaz:
http://arxiv.org/abs/2411.05333
Autor:
Zhang, Longtao, Li, Ruoyu, Ren, Congrong, Di, Sheng, Liu, Jinyang, Huang, Jiajun, Underwood, Robert, Grosset, Pascal, Tao, Dingwen, Liang, Xin, Guo, Hanqi, Capello, Franck, Zhao, Kai
Many scientific applications opt for particles instead of meshes as their basic primitives to model complex systems composed of billions of discrete entities. Such applications span a diverse array of scientific domains, including molecular dynamics,
Externí odkaz:
http://arxiv.org/abs/2411.00761
As the demand for high-quality training data escalates, researchers have increasingly turned to generative models to create synthetic data, addressing data scarcity and enabling continuous model improvement. However, reliance on self-generated data i
Externí odkaz:
http://arxiv.org/abs/2410.10160
We propose a multi-tier paradigm to preserve various components of Morse-Smale complexes in lossy compressed scalar fields, including extrema, saddles, separatrices, and persistence diagrams. Existing error-bounded lossy compressors rarely consider p
Externí odkaz:
http://arxiv.org/abs/2409.17346
Autor:
Agarwal, Tripti, Di, Sheng, Huang, Jiajun, Huang, Yafan, Gopalakrishnan, Ganesh, Underwood, Robert, Zhao, Kai, Liang, Xin, Li, Guanpeng, Cappello, Franck
Error-bounded lossy compression has been a critical technique to significantly reduce the sheer amounts of simulation datasets for high-performance computing (HPC) scientific applications while effectively controlling the data distortion based on use
Externí odkaz:
http://arxiv.org/abs/2408.11971
Autor:
Chao, Yu-Xin, Hua, Zhen-Xing, Liang, Xin-Hui, Yue, Zong-Pei, Jia, Chen, You, Li, Tey, Meng Khoon
Suppressing high-frequency laser phase noise, particularly at frequencies near and beyond typical feedback bandwidths of a few MHz, is a critical yet challenging task in many advanced applications. Feedforward-based methods generally outperform feedb
Externí odkaz:
http://arxiv.org/abs/2407.19642
Autor:
Lu, Wenlong, Feng, Shiyu, Wang, Yuzhi, Chen, Dong, Lin, Zihan, Liang, Xin, Liu, Siyuan, Feng, Wanxiang, Yamagami, Kohei, Liu, Junwei, Felser, Claudia, Wu, Quansheng, Ma, Junzhang
As a special type of collinear antiferromagnetism (AFM), altermagnetism has garnered significant research interest recently. Altermagnets exhibit broken parity-time symmetry and zero net magnetization in real space, leading to substantial band splitt
Externí odkaz:
http://arxiv.org/abs/2407.13497
Autor:
Cui, Hejie, Mao, Lingjun, Liang, Xin, Zhang, Jieyu, Ren, Hui, Li, Quanzheng, Li, Xiang, Yang, Carl
Recent advancements in multimodal foundation models have showcased impressive capabilities in understanding and reasoning with visual and textual information. Adapting these foundation models trained for general usage to specialized domains like biom
Externí odkaz:
http://arxiv.org/abs/2406.13173
It is imperative to ensure the stability of every prediction made by a language model; that is, a language's prediction should remain consistent despite minor input variations, like word substitutions. In this paper, we investigate the problem of cer
Externí odkaz:
http://arxiv.org/abs/2406.01873